fiezt / Stackelberg-Code
Code for "Convergence of Learning Dynamics in Stackelberg Games"
☆13Updated 5 years ago
Alternatives and similar repositories for Stackelberg-Code
Users that are interested in Stackelberg-Code are comparing it to the libraries listed below
Sorting:
- ☆12Updated 4 years ago
- ☆42Updated 3 years ago
- Nash Q Learning☆31Updated 4 years ago
- Hybrid action space reinforcement learning algorithms.☆12Updated 4 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆75Updated last year
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆94Updated 2 years ago
- The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.☆26Updated 6 years ago
- ☆38Updated 3 years ago
- ☆21Updated last year
- This is the code repository for the paper "Zero-Sum Stochastic Stackelberg Games".☆15Updated 2 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆102Updated 2 years ago
- [NeurIPS 2022] Code for Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments☆12Updated 2 years ago
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆59Updated 4 years ago
- ☆75Updated 5 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆34Updated 3 years ago
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆59Updated 4 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆56Updated 2 years ago
- PyTorch implementation of Constrained Policy Optimization☆54Updated 3 years ago
- Deep learning implementations (Asynchronous Deep Q-Learning) of multiple Game Theory algorithms for adversarial learning (WoLF-PHC, GIGA-…☆15Updated 7 years ago
- Revisiting Discrete Soft Actor-Critic Accepted by Transactions on Machine Learning Research (TMLR)☆20Updated 5 months ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆58Updated 5 years ago
- Decentralized deep multi-agent reinforcement learning in physical environments.☆14Updated 6 years ago
- Paper list of multi-agent reinforcement learning (MARL)☆32Updated 3 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆84Updated 7 years ago
- jinxinglim / Game-Theoretical-Approaches-in-Multi-Agent-Reinforcement-Learning-Policy-Space-Response-Oracles☆14Updated 5 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆47Updated 2 years ago
- ☆59Updated 4 years ago
- This is code for finding the minimax/nash/stackelberg strategy of players in Markov Games.☆24Updated 5 years ago
- Paper list for constrained policy optimization in reinforcement learning.☆72Updated last year
- pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"☆53Updated 2 years ago